On the public citation graph

Ada2mf: Dual-Adaptive Multi-Fidelity Neural Network Approach and its Application in Wind Turbine Wake Prediction

https://doi.org/10.2139/ssrn.4761825
0 signed · 54 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470770801openalex-extracted
Engineering Design via Surrogate Modelling
inferredcites →https://doi.org/10.1002/gamm.202100007openalex-extracted
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
inferredcites →https://doi.org/10.1002/we.2714openalex-extracted
Evaluating the accuracy of the actuator line model against blade element momentum theory in uniform inflow
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-extracted
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/s10546-010-9512-1openalex-extracted
Effects of Thermal Stability and Incoming Boundary-Layer Flow Characteristics on Wind-Turbine Wakes: A Wind-Tunnel Study
inferredcites →https://doi.org/10.1007/s40747-023-00967-yopenalex-extracted
Automatic multi-documents text summarization by a large-scale sparse multi-objective optimization algorithm
inferredcites →https://doi.org/10.1016/j.advengsoft.2022.103370openalex-extracted
Solving multi-objective optimization problem of convolutional neural network using fast forward quantum optimization algorithm: Application in digital image classification
inferredcites →https://doi.org/10.1016/j.apenergy.2018.10.110openalex-extracted
A two-dimensional model based on the expansion of physical wake boundary for wind-turbine wakes
inferredcites →https://doi.org/10.1016/j.apenergy.2019.03.164openalex-extracted
Wake model for horizontal-axis wind and hydrokinetic turbines in yawed conditions
inferredcites →https://doi.org/10.1016/j.asoc.2020.106231openalex-extracted
A decomposition-based multi-objective optimization approach for extractive multi-document text summarization
inferredcites →https://doi.org/10.1016/j.camwa.2015.05.001openalex-extracted
The cumulant lattice Boltzmann equation in three dimensions: Theory and validation
inferredcites →https://doi.org/10.1016/j.cma.2020.113485openalex-extracted
Multi-fidelity deep neural network surrogate model for aerodynamic shape optimization
inferredcites →https://doi.org/10.1016/j.cma.2021.114212openalex-extracted
A fast multi-fidelity method with uncertainty quantification for complex data correlations: Application to vortex-induced vibrations of marine risers
inferredcites →https://doi.org/10.1016/j.cma.2021.114378openalex-extracted
Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities
inferredcites →https://doi.org/10.1016/j.ejor.2018.08.018openalex-extracted
Extension of Zoutendijk method for solving constrained multiobjective optimization problems
inferredcites →https://doi.org/10.1016/j.enconman.2020.112496openalex-extracted
New perspectives on maximum wind energy extraction of variable-speed wind turbines using previewed wind speeds
inferredcites →https://doi.org/10.1016/j.energy.2019.115883openalex-extracted
Physics-induced graph neural network: An application to wind-farm power estimation
inferredcites →https://doi.org/10.1016/j.energy.2021.121747openalex-extracted
Wind farm wake modeling based on deep convolutional conditional generative adversarial network
inferredcites →https://doi.org/10.1016/j.energy.2023.127942openalex-extracted
Prediction of regional wind power generation using a multi-objective optimized deep learning model with temporal pattern attention
inferredcites →https://doi.org/10.1016/j.jcp.2017.05.040openalex-extracted
Parametrization of the cumulant lattice Boltzmann method for fourth order accurate diffusion part I: Derivation and validation
inferredcites →https://doi.org/10.1016/j.jcp.2017.07.004openalex-extracted
Parametrization of the cumulant lattice Boltzmann method for fourth order accurate diffusion part II: Application to flow around a sphere at drag crisis
inferredcites →https://doi.org/10.1016/j.jcp.2019.109020openalex-extracted
A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems
inferredcites →https://doi.org/10.1016/j.renene.2014.01.002openalex-extracted
A new analytical model for wind-turbine wakes
inferredcites →https://doi.org/10.1016/j.renene.2023.01.003openalex-extracted
Multi-objective deep reinforcement learning for optimal design of wind turbine blade
inferredcites →https://doi.org/10.1016/j.rser.2020.110699openalex-extracted
Aerodynamic design and performance parameters of a lift-type vertical axis wind turbine: A comprehensive review
inferredcites →https://doi.org/10.1017/jfm.2023.390openalex-extracted
The characteristics of helically deflected wind turbine wakes
inferredcites →https://doi.org/10.1038/nature14539openalex-extracted
Deep learning
inferredcites →https://doi.org/10.1038/s41598-018-31571-7openalex-extracted
A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions
inferredcites →https://doi.org/10.1063/1.4928700openalex-extracted
Minimum-dissipation models for large-eddy simulation
inferredcites →https://doi.org/10.1063/5.0140545openalex-extracted
Fast aerodynamics prediction of laminar airfoils based on deep attention network
inferredcites →https://doi.org/10.1073/pnas.1922210117openalex-extracted
Extraction of mechanical properties of materials through deep learning from instrumented indentation
inferredcites →https://doi.org/10.1088/1742-6596/1618/6/062057openalex-extracted
Assessment of weak compressibility in actuator line simulations of wind turbine wakes
inferredcites →https://doi.org/10.1088/1742-6596/2265/2/022066openalex-extracted
WakeNet 0.1 - A Simple Three-dimensional Wake Model Based on Convolutional Neural Networks
inferredcites →https://doi.org/10.1088/1757-899x/1164/1/012090openalex-extracted
Application of improved gradient projection method to parametric optimization of steel lattice portal frame
inferredcites →https://doi.org/10.1093/biomet/87.1.1openalex-extracted
Predicting the output from a complex computer code when fast approximations are available
inferredcites →https://doi.org/10.1093/gji/ggz243openalex-extracted
Joint optimization of geophysical data using multi-objective swarm intelligence
inferredcites →https://doi.org/10.1098/rspa.2007.1900openalex-extracted
Multi-fidelity optimization via surrogate modelling
inferredcites →https://doi.org/10.1109/access.2020.2970143openalex-extracted
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.01155openalex-extracted
Characterizing and Avoiding Negative Transfer
inferredcites →https://doi.org/10.1115/1.1471361openalex-extracted
Numerical Modeling of Wind Turbine Wakes
inferredcites →https://doi.org/10.1615/int.j.uncertaintyquantification.2020031957openalex-extracted
A MULTI-FIDELITY NEURAL NETWORK SURROGATE SAMPLING METHOD FOR UNCERTAINTY QUANTIFICATION
inferredcites →https://doi.org/10.2172/947422openalex-extracted
Definition of a 5-MW Reference Wind Turbine for Offshore System Development
inferredcites →https://doi.org/10.2514/1.32308openalex-extracted
Building Efficient Response Surfaces of Aerodynamic Functions with Kriging and Cokriging
inferredcites →https://doi.org/10.2514/3.48278openalex-extracted
Sensitivity-based scaling for approximating structural response
inferredcites →https://doi.org/10.2514/6.2009-2274openalex-extracted
Recent Advances in Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Analysis and Design
inferredcites →https://doi.org/10.3390/computation3030354openalex-extracted
Validation of the GPU-Accelerated CFD Solver ELBE for Free Surface Flow Problems in Civil and Environmental Engineering
inferredcites →https://doi.org/10.3390/s23031180openalex-extracted
A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification
inferredcites →https://doi.org/10.3934/acse.2023015openalex-extracted
Review of multi-fidelity models
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-extracted
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1604.07484openalex-extracted
Deep Multi-fidelity Gaussian Processes
inferredcites →https://doi.org/10.48550/arxiv.1705.08933openalex-extracted
Doubly Stochastic Variational Inference for Deep Gaussian Processes
inferredcites →https://doi.org/10.5194/wes-5-623-2020openalex-extracted
Actuator line simulations of wind turbine wakes using the lattice Boltzmann method
inferredcites →https://doi.org/10.5194/wes-6-701-2021openalex-extracted
Control-oriented model for secondary effects of wake steering
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.